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The application of non

Scientific Reports volume 13,

Scientific Reports volume 13, Article number: 8471 (2023) Cite this article

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The improvement of heat transfer inside the solar heat exchangers is important for the development of solar energy in an urban area. In this study, the usage of a non-uniform magnetic field on the thermal efficiency of the nanofluid (Fe3O4) streaming inside the U-turn pipe of solar heat exchangers is examined. Computational fluid dynamic is applied to visualize the nanofluid flow inside the solar heat exchanger. The role of magnetic intensity and Reynolds number on thermal efficiency are fully investigated. The effect of single and triple sources of the magnetic field is also studied in our research. Obtained results indicate that the usage of the magnetic field results in the production of vortex in the base fluid and heat transfer improves inside the domain. Our finding indicates that the usage of the magnetic field with Mn = 25 K would improve the average heat transfer by about 21% along the U-turn pipe of solar heat exchangers.

The thermal advancement of heat exchangers is critical for saving environments and costs. The performance of heat exchangers is crucial in different industries since they are widely used in industries i.e. power plants, petrochemical plants, and oil refineries as well as home users1,2,3. The importance of this device for saving the environment is mentioned in previous works since it will reduce CO2 emissions by burning oil for energy production. In another hand, a new type of energy resource such as solar energy becomes economic when the performance of the heat exchangers is high enough4,5.

The development of new sources of energy is very important since the current source of energy is not durable for more than two centuries6,7. Hence, renewable energy has become the main topic for researchers as the best replacement for crude oil8,9. Besides, reduction of the pollution is not achieved by the classical source of energy since CO2 production is unavoidable in the burning of crude oil10,11. Among available renewable energy, solar energy has been considered a reliable source of energy due to accessibility and low cost, especially for home users12,13. Although solar power plants are not comparable with other power plants (i.e. nuclear) for large-scale energy production, this source of energy could be efficiently used for small-scale users who live long distances from urban areas14,15,16,17. Hence, the usage of solar systems for the production of energy sources for home users has increased in the last three years by increasing the oil price18,19,20.

The usage of nanoparticles has expressively advanced the efficiency of current heat exchangers21,22. In fact, ferro particles extensively improve the thermal capacity of the base fluid in the heat exchangers and this economizes the performance of solar panels for providing required hot water for home users23,24,25. The heat capacity of the nanofluid has substantial increases with the usage of the magnetic field. Indeed, the application of the magnetic source near the pipe with the nanofluid stream results in the disturbance in the fluid, and a vortex structure is produced in the nanofluid stream26,27. Therefore, the heat transfer intensifies inside the heat exchangers. This characteristic of the nanofluid flow has been comprehensively investigated in another process i.e. boiling and melting since this would change the thermal properties of the process28,29,30. Although, the usage of a magnetic source either uniform or non-uniform near the nanofluid with ferro particles has been explored in current research, this aspect of the nanofluid flow was not comprehensively explored in different sections of the heat exchangers31,32,33. In most of these studies, a theoretical approach is used for the thermal analysis of the nanofluid flow34,35,36. The numerical technique of Computational Fluid dynamics is also used for the investigation of the heat transfer of heat exchangers37,38. Due to the low cost of computational investigations, this technique is considered as the initial method for the pre-evaluation of new innovative approaches for the development of current research39,40. Although several investigations have focused on the uniform-magnetic field for the improvement of heat exchangers, the non-uniform magnetic field was studied in limited articles via computational fluid dynamics41,42,43.

In this article, the role of a non-uniform magnetic field on the thermal improvement of nanofluid streaming along a U-turn double pipe heat exchanger (Fig. 1). The flow characteristics and heat properties of the nanofluid flow are examined and analyzed by computational fluid dynamics. The streamline of base flow with ferro particles in a two-dimensional model is fully explored to reveal the main flow factors which improve the thermal aspects of the nanofluid. Impacts of nanofluid Reynolds number and magnetic intensities are also simulated on the hydrodynamic of the nanofluid stream. In addition, variation of the heat transfer along the U-turn pipe is plotted in different conditions.

The schematic of U-turn pipe in presence of (a) single (b) triple non-uniform magnetic source.

Nanofluid is the mixture of ferro particles (3–15 nm) inside the base fluid which is water in this study. The simulation of the nanofluid is done while the base fluid is incompressible water with the thermal characteristics of ferrofluid. It is assumed that the nanofluid stream is steady, incompressible, and laminar44,45,46. The main governing equations of the 2D nanofluid stream with mentioned assumption are as follows:

There are two source terms in the momentum equations and they are associated with magnetic field and known as kelvin Force. These source terms are calculated via these formulas:

where the value of M is calculated via these equations:

The non-dimensional value for evaluation of the magnetic intensity is calculated via

In proceeding published articles, full details of the applied non-uniform magnetic field on the main governing equations of the ferrofluid are presented and explained. The thermo-characteristics of the base fluid, air, and water are presented in Table 1.

The density, viscosity, and heat capacity of the mixture (water with ferro particles) are calculated via

To compare hydro and thermal characteristics of nanofluid stream, Reynolds and Nusselt numbers should be calculated as follows:

The selected model of a U-turn double pipe with the nanofluid flow is displayed in Fig. 1. The sources of the magnetic field are demonstrated with the non-uniform distribution. Uniform heat flux (1000 W/m2K) is applied on the wall as depicted in the figure. It is assumed that the ferrofluid with constant temperature (300 K) and velocity enters the pipe. The size of the pipe is d/D = 0.8.

A grid study is also done for the numerical simulation of the ferrofluid inside the pipe. Figure 2 illustrated produced grid for chosen U-turn model. The generated grid is fully structured and the size of the grid near the wall is less than other regions due to the interaction of the magnetic field on the nanofluid stream. Grid independency analysis is done (Table 2) to attain the optimum grid cells for the introduced geometry. The results of grid independency are presented in Fig. 3. As noticed in the table, the size of grids is changed and its effects on the thermal characteristic of the single pipe are compared. The model with a grid number of 9000 cells (30 × 300) is chosen for this study.

Grid.

Validation (a) φ = 0.24 (b) φ = 1.18.

The validation of our method are done for a nanofluid stream along a single pipe and our data are compared with both experimental and computational data46,47,48,49. As demonstrated in Fig. 3, the heat transfer coefficient of nanofluid with two nanoparticle volume fractions at Re = 1500 is simulated and compared results confirmed that the deviation of our result is less than 8% which is acceptable for our future studies50,51,52. This approach is used in different scientific problems53,54,55,56,57,58.

Figure 4 illustrates the impacts of the magnetic source on streamlining of nanofluid flow inside the U-turn pipe. When the single magnetic source is applied in the vicinity of the mid-section of the U-turn, one single vortex is produced. The formation of this vortex is the main result of the kelvin force. In the case with three magnetic sources, there are three vortices inside the domain. It is found that the first vortices (wire 3) are larger than the others. The main reason for the production of vortices is the non-uniformity of the magnetic field. How the formation of the vortices improves the heat transfer would be explained in the next sections.

Streamline of nanofluid in existence of (a) single (b) triple non-uniform magnetic field with Mn = 165,000.

The influence of these vortices on the heat transfer along the U-turn pipe is illustrated in Fig. 5. In this figure, the fluctuation of the Nusselt number shows the influence of the magnetic source on the heat transfer of the U-turn pipe in different Reynolds numbers. As the velocity of inlet nanofluid flow increases, the impacts of magnetic source on the hydrodynamic of nanofluid flow are limited due to the high momentum of the fluid. Thus, the size of the vortex is restricted, and consequently, the heat transfer rate decrease as demonstrated in Fig. 5. One of the main aspects of these vortices is the high-velocity gradient inside the domain which makes the nanofluid stay more. Figure 6 demonstrates the heat transfer along the U-turn pipe in different Reynolds numbers without a magnetic field.

Variation of heat transfer along U-turn in presence of single source of magnetic source at (a) Re = 50 (b) Re = 150.

Variation of heat transfer along U-turn without source of magnetic.

Effects of the magnetic field on the temperature variation of nanofluid flow are depicted in Fig. 7. It is observed that the temperature change occurs in the region where the vortex is produced. The variation of the temperature is not only related to the vortices but also associated with the changes in heat capacity of nanofluid under impacts of non-homogeny magnetic force. The non-dimensional temperature contour demonstrates these effects in our model. The intensity of the magnetic field also intensifies the formation of strong vortices and consequently, heat transfer is improved.

Contour of non-dimensional temperature under impacts of non-uniform magnetic source (a) Mn = 0, (b) Mn = 92,000 and (c) Mn = 258,000.

A comparison of heat transfer for the single and triple non-uniform magnetic source is plotted in Fig. 8. The formation of the peak in the plot represents the formation of the vortices under the impact of the non-uniform magnetic field. The maximum Nusselt number occurs near wire 3 of the triple magnetic source case. The streamlined figure also confirms that a large vortex is produced in this area. In fact, this is due to the shape of the U-turn pipe which tends the flow to move in the far wall rather than the inner wall. Thus, there is less resistance to the disruption of the vortex.

Variation of Nusselt number along the pipe for single and triple magnetic field.

Figure 9 illustrates the temperature contour of a single and triple magnetic source as well as a model without a magnetic field. The temperature variation near the source of the magnetic field verifies that the existence of the non-uniform magnetic field improves the heat transfer on the U-turn pipe. As the number of the source of the magnetic field is increased, a larger area inside the domain is under the impact of the magnetic source.

Comparison of non-dimensional temperature under impacts of (a) single and (b) triple source of non-uniform magnetic field.

The influence of magnetic intensity on the average Nusselt number along the U-turn pipe is presented in Fig. 10. The inlet velocity is constant (Re = 50) and the source of non-uniform magnetic fields is uniform. The variation of the average Nusselt number with changes in the magnetic source is almost linear. The average Nusselt number increase by about 21% when the magnetic source with a magnetic intensity of Mn = 258,000 is applied by a single source. Following equation is obtained for estimation of the average heat transfer along U-turn pipe.

Effects of magnetic intensity of single non-uniform magnetic field on average Nusselt number along the U-turn pipe.

The influence of a non-uniform magnetic field on the heat transfer of nanofluid through a U-turn pipe is explored in the present study. CFD technique is used to model the hydrodynamic and thermal characteristics of the nanofluid with Fe203 ferro-particles under impacts of the single and triple magnetic field in a U-turn pipe. The role of magnetic intensity and inlet nanofluid velocity on the hydrodynamic of the nanofluid flow. The production of the vortices and its impact on the heat transfer of the based fluid are extensively explained. Temperature contour of various fluid conditions is also present in the current study. Obtained results show that the application of a non-uniform single magnetic field (Mn = 25.8 K) near the mid-section of the U-turn pipe would increase the heat transfer by up to 21%.

All data generated or analysed during this study are included in this published article.

Bai, J., Kadir, D. H., Fagiry, M. A. & Tlili, I. Numerical analysis and two-phase modeling of water Graphene Oxide nanofluid flow in the riser condensing tubes of the solar collector heat exchanger. Sustain. Energy Technol. Assessments. 53, 102408 (2022).

Article Google Scholar

Jahromi, A. M. et al. The ability of the absorbed energy in the flat-plate solar-collector'tubes for oil-water separation: An experimental-computational approach. Sustain. Energy Technol. Assessments 53, 102507 (2022).

Article Google Scholar

Yang, D. C. et al. Engineering surface oxygen vacancy of mesoporous CeO2 nanosheets assembled microspheres for boosting solar-driven photocatalytic performance. Chin. Chem. Lett. 33(1), 378–384 (2022).

Article CAS Google Scholar

Zhao, Y. W. et al. Laser-assisted synthesis of cobalt@N-doped carbon nanotubes decorated channels and pillars of wafer-sized silicon as highly efficient three-dimensional solar evaporator. Chin. Chem. Lett. 32(10), 3090–3094 (2021).

Article CAS Google Scholar

Hai, T., Kadir, D.H., Ghanbari, A. Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive statistical and operating analyses. Energy. 276, 127515 (2023).

Barzegar, R., & M. Barzegar Gerdroodbary. Environmental aspects of light pollution. in Nanotechnology for Light Pollution Reduction, 119–131. (CRC Press, 2022).

Kadir, D. H. & Triantafyllopoulos, K. Bayesian Inference of Autoregressive Models (University of Sheffield, 2018).

Google Scholar

Sheikholeslami, M., Jafaryar, M., Barzegar Gerdroodbary, M. & Alavi, A. H. Influence of novel turbulator on efficiency of solar collector system. Environ. Technol. Innovat. 26, 102383 (2022).

Article CAS Google Scholar

Hassanvand, A., M.S. Moghaddam, M. Barzegar Gerdroodbary, & Y. Amini. Analytical study of heat and mass transfer in axisymmetric unsteady flow by ADM method. J. Comput. Appl. Res. Mech. Eng. (JCARME). 11(1), 151–163 (2021).

Hariri, S., Mokhtari, M., Gerdroodbary, M. B. & Fallah, K. Numerical investigation of the heat transfer of a ferrofluid inside a tube in the presence of a non-uniform magnetic field. Eur. Phys. J. Plus 132(2), 1–14 (2017).

Article CAS Google Scholar

Sheikholeslami, M., Farshad, S. A., Gerdroodbary, M. B. & Alavi, A. H. Impact of new multiple twisted tapes on treatment of solar heat exchanger. Eur. Phys. J. Plus 137(1), 86 (2022).

Article CAS Google Scholar

Sheikholeslami, M., Gerdroodbary, M. B., Shafee, A. & Tlili, I. Hybrid nanoparticles dispersion into water inside a porous wavy tank involving magnetic force. J. Thermal Anal. Calorimetry 141(5), 1993–1999 (2020).

Article CAS Google Scholar

Manh, T.D., Abazari, A.M., M. Barzegar Gerdroodbary, N.D. Nam, R. Moradi, & H. Babazadeh. Computational simulation of variable magnetic force on heat characteristics of backward-facing step flow. J. Thermal Anal. Calorimetry. 144, 1585–1596 (2021).

Tlili, I., Moradi, R. & Gerdroodbary, M. B. Transient nanofluid squeezing cooling process using aluminum oxide nanoparticle. Int. J. Modern Phys. C 30(11), 1950078 (2019).

Article ADS CAS Google Scholar

Khudhur, A. M. & Kadir, D. H. An application of logistic regression modeling to predict risk factors for bypass graft diagnosis in Erbil. Cihan Univ.-Erbil Sci. J. 6(1), 57–63 (2022).

Article Google Scholar

Barzegar Gerdroodbary, M. Application of neural network on heat transfer enhancement of magnetohydrodynamic nanofluid. Heat Transfer—Asian Res. 49(1), 197–212 (2020).

Article Google Scholar

Nguyen, T. K. et al. Influence of various shapes of CuO nanomaterial on nanofluid forced convection within a sinusoidal channel with obstacles. Chem. Eng. Res. Design 146, 478–485 (2019).

Article CAS Google Scholar

Kadir, D. H. Likelihood approach for Bayesian logistic weighted model. Cihan Univ.-Erbil Sci. J. 4(2), 9–12 (2020).

Article MathSciNet Google Scholar

Sheikholeslami, M., Barzegar Gerdroodbary, M., Moradi, R., Shafee, A. & Li, Z. Numerical mesoscopic method for transportation of H2O-based nanofluid through a porous channel considering Lorentz forces. Int. J. Modern Phys. C 30(02n03), 1950007 (2019).

Article ADS CAS Google Scholar

Buschow, K. H. J. Handbook of Magnetic Materials (Elsevier, 2003).

Google Scholar

Pak, B. C. & Cho, Y. I. Hydrodynamic and heat transfer study of dispersed fluid with submicron metallic oxide partical. Exp. Heat Transfer. 11(2), 151–170 (1998).

Article ADS CAS Google Scholar

Sadeghi, A., Amini, Y., Saidi, M. H. & Chakraborty, S. Numerical modeling of surface reaction kinetics in electrokinetically actuated microfluidic devices. Analyt. Chimica Acta 838, 64–75 (2014).

Article CAS Google Scholar

Sadeghi, A., Amini, Y., Saidi, M. H. & Yavari, H. Shear-rate-dependent rheology effects on mass transport and surface reactions in biomicrofluidic devices. AIChE J. 61(6), 1912–1924 (2015).

Article CAS Google Scholar

Sajadi, S. M., Kadir, D. H., Balaky, S. M. & Perot, E. M. An Eco-friendly nanocatalyst for removal of some poisonous environmental pollutions and statistically evaluation of its performance. Surfaces Interfaces. 23, 100908 (2021).

Article CAS Google Scholar

Kadir, D. H. Statistical evaluation of main extraction parameters in twenty plant extracts for obtaining their optimum total phenolic content and its relation to antioxidant and antibacterial activities. Food Sci. Nutr. 9(7), 3491–3499 (2021).

Article CAS PubMed PubMed Central Google Scholar

Xiang, J. et al. Heat transfer performance and structural optimization of a novel micro-channel heat sink. Chin. J. Mech. Eng. 35(1), 38. https://doi.org/10.1186/s10033-022-00704-5 (2022).

Article Google Scholar

Muhammad, I., Ali, A., Zhou, L., Zhang, W. & Wong, P. K. J. Vacancy-engineered half-metallicity and magnetic anisotropy in CrSI semiconductor monolayer. J. Alloys Compounds. 909, 164797. https://doi.org/10.1016/j.jallcom.2022.164797 (2022).

Article CAS Google Scholar

Isanejad, M. & Fallah, K. Numerical study of droplet breakup in an asymmetric T-junction microchannel with different cross-section ratios. Int. J. Modern Phys. C. 33(02), 2250023 (2022).

Article ADS MathSciNet CAS Google Scholar

Fallah, K. & Fattahi, E. Splitting of droplet with different sizes inside a symmetric T-junction microchannel using an electric field. Sci. Rep. 12(1), 1–12 (2022).

Article Google Scholar

Allahyari, S. et al. Investigating the effects of nanoparticles mean diameter on laminar mixed convection of a nanofluid through an inclined tube with circumferentially nonuniform heat flux. J. Eng. Thermophys. 25(4), 563–575 (2016).

Article CAS Google Scholar

Fallah, K., Rahni, M. T., Mohammadzadeh, A. & Najafi, M. Drop formation in cross-junction microchannel, using lattice Boltzmann method. Therm. Sci. 22(2), 909–919 (2018).

Article Google Scholar

Sheidani, A., Salavatidezfouli, S. & Schito, P. Study on the effect of raindrops on the dynamic stall of a NACA-0012 airfoil. J. Braz. Soc. Mech. Sci. Eng. 44(5), 1–15 (2022).

Article Google Scholar

Bakhshaei, K., MoradiMaryamnegari, H., SalavatiDezfouli, S., Khoshnood, A. M. & Fathali, M. Multi-physics simulation of an insect with flapping wings. Proc. Inst. Mech. Eng. Part G J. Aerosp. Eng. 235(10), 1318–1339 (2021).

Article Google Scholar

Gao, Y., Doppelbauer, M., Ou, J. & Qu, R. Design of a double-side flux modulation permanent magnet machine for servo application. IEEE J. Emerg. Selected Topics Power Electron. 10(2), 1671–1682. https://doi.org/10.1109/JESTPE.2021.3105557 (2021).

Article Google Scholar

Mokhtari, M., Hariri, S., Gerdroodbary, M. B. & Yeganeh, R. Effect of non-uniform magnetic field on heat transfer of swirling ferrofluid flow inside tube with twisted tapes. Chem. Eng. Process. Process Intensification. 117, 70–79 (2017).

Article CAS Google Scholar

Amini, Y. & Esfahany, M. N. CFD simulation of the structured packings: A review. Separation Sci. Technol. 54(15), 2536–2554 (2019).

Article CAS Google Scholar

Zhang, S. et al. A low-carbon, fixed-tour scheduling problem with time windows in a time-dependent traffic environment. Int. J. Product. Res. https://doi.org/10.1080/00207543.2022.2153940 (2022).

Article Google Scholar

Luo, Z. et al. Extraordinary role of Zn in enhancing thermoelectric performance of Ga-doped n-type. PbTe. https://doi.org/10.1039/d1ee02986j (2021).

Article Google Scholar

Qu, M. et al. Laboratory study and field application of amphiphilic molybdenum disulfide nanosheets for enhanced oil recovery. J. Petrol. Sci. Eng. 208, 109695. https://doi.org/10.1016/j.petrol.2021.109695 (2022).

Article CAS Google Scholar

Lu, S. et al. An asymmetric encoder–decoder model for Zn-ion battery lifetime prediction. Energy Rep. 8, 33–50. https://doi.org/10.1016/j.egyr.2022.09.211 (2022).

Article Google Scholar

Li, X. et al. A magnetic field coupling fractional step lattice Boltzmann model for the complex interfacial behavior in magnetic multiphase flows. Appl. Math. Modell. 117, 219–250. https://doi.org/10.1016/j.apm.2022.12.025 (2023).

Article MathSciNet MATH Google Scholar

Amini, Y., Gerdroodbary, M. B., Pishvaie, M. R., Moradi, R. & Monfared, S. M. Optimal control of batch cooling crystallizers by using genetic algorithm. Case Stud. Thermal Eng. 8, 300–310 (2016).

Article Google Scholar

Dang, W. et al. An encoder–decoder fusion battery life prediction method based on Gaussian process regression and improvement. J. Energy Storage. 59, 106469. https://doi.org/10.1016/j.est.2022.106469 (2023).

Article Google Scholar

Amini, Y., Mokhtari, M., Haghshenasfard, M. & Gerdroodbary, M. B. Heat transfer of swirling impinging jets ejected from Nozzles with twisted tapes utilizing CFD technique. Case Stud. Thermal Eng. 6, 104–115 (2015).

Article Google Scholar

Xia, Y. et al. Analysis of flexural failure mechanism of ultraviolet cured-in-place-pipe materials for buried pipelines rehabilitation based on curing temperature monitoring. Eng. Failure Anal. 142, 106763. https://doi.org/10.1016/j.engfailanal.2022.106763 (2022).

Article Google Scholar

Kim, D. et al. Convective heat transfer characteristics of nanofluids under laminar and turbulent flow conditions. Curr. Appl. Phys. 9, e119–e123 (2009).

Article ADS Google Scholar

He, Y., Men, Y., Zhao, Y., Huilin, Lu. & Ding, Y. Numerical investigation into the convective heat transfer of TiO2 nanofluids flowing through a straight tube under the laminar flow conditions. J. Appl. Therm. Eng. 29, 1965–1972 (2009).

Article CAS Google Scholar

Gerdroodbary, M. B., Sheikholeslami, M., Mousavi, S. V., Anazadehsayed, A. & Moradi, R. The influence of non-uniform magnetic field on heat transfer intensification of ferrofluid inside a T-junction. Chem. Eng. Process.-Process Intensification. 123, 58–66 (2018).

Article Google Scholar

Manh, T.D., M. Bahramkhoo, M. Barzegar Gerdroodbary, N.D. Nam, & I. Tlili. Investigation of nanomaterial flow through non-parallel plates. J. Thermal Anal. Calorimetry. 143, 3867–3875 (2021).

Sheikholeslami, M., Barzegar Gerdroodbary, M., Moradi, R., Shafee, A. & Li, Z. Application of Neural Network for estimation of heat transfer treatment of Al2O3-H2O nanofluid through a channel. Comput. Methods Appl. Mech. Eng. 344, 1–12 (2019).

Article ADS Google Scholar

Ahmadi Asoor, A. A., Valipour, P. & Ghasemi, S. E. Investigation on vibration of single-walled carbon nanotubes by variational iteration method. Appl. Nanosci. 6, 243–249 (2016).

Article ADS CAS Google Scholar

Valipour, P. & Ghasemi, S. E. Numerical investigation of MHD water-based nanofluids flow in porous medium caused by shrinking permeable sheet. J. Braz. Soc. Mech. Sci. Eng. 38, 859–868 (2016).

Article CAS Google Scholar

Zhou, J., Alizadeh, A., Ali, M. A. & Sharma, K. The use of machine learning in optimizing the height of triangular obstacles in the mixed convection flow of two-phase MHD nanofluids inside a rectangular cavity. Eng. Anal. Boundary Elements. 150, 84–93 (2023).

Article MathSciNet Google Scholar

Dong, S. et al. The effect of external force and magnetic field on atomic behavior and pool boiling heat transfer of Fe3O4/ammonia nanofluid: A molecular dynamics simulation. J. Taiwan Inst. Chem. Eng. 145, 104781 (2023).

Article CAS Google Scholar

Abderrahmane, A. et al. Investigation of the free convection of nanofluid flow in a wavy porous enclosure subjected to a magnetic field using the Galerkin finite element method. J. Magnetism Magnetic Mater. 569, 170446 (2023).

Article CAS Google Scholar

Zhou, J., Ali, M. A., Alizadeh, A. & Sharma, K. Numerical study of mixed convection flow of two-phase nanofluid in a two-dimensional cavity with the presence of a magnetic field by changing the height of obstacles with artificial intelligence: Investigation of entropy production changes and Bejan number. Eng. Anal. Boundary Elements 148, 52–61 (2023).

Article MATH Google Scholar

Hai, T., Alsharif, S., Ali, M. A., Singh, P. K. & Alizadeh, A. Analyzing geometric parameters in inclined enclosures filled with magnetic nanofluid using artificial neural networks. Eng. Anal. Boundary Elements. 146, 555–568 (2023).

Article MathSciNet MATH Google Scholar

Koosha, N. et al. Three-dimensional investigation of capture efficiency of carrier particles in a Y-shaped vessel considering non-Newtonian models. J. Magnetism Magnetic Mater. 564, 170130 (2022).

Article CAS Google Scholar

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Key Laboratory of Crop Harvesting Equipment Technology of Zhejiang Province, Jinhua Polytechnic, Jinhua, China

Sida Li

Chongqing Water Conservancy & Electric Power Construction Survey & Design Research Institute Hangzhou Branch, Hangzhou, China

Liudan Mao

Department of Civil Engineering, College of Engineering, Cihan University-Erbil, Erbil, Iraq

As’ad Alizadeh

Zhejiang Tongjing Technology Co. Ltd., Quzhou, China

Xin Zhang

Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran

S. Valiallah Mousavi

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S.V.M. and A.A. wrote the main manuscript text and S.L. and L.M. prepared figures and S.L. and L.M. and X.Z. improved the English writing and conclusion. All authors reviewed the manuscript.

Correspondence to Liudan Mao or S. Valiallah Mousavi.

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Li, S., Mao, L., Alizadeh, A. et al. The application of non-uniform magnetic field for thermal enhancement of the nanofluid flow inside the U-turn pipe at solar collectors. Sci Rep 13, 8471 (2023). https://doi.org/10.1038/s41598-023-35659-7

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Received: 22 March 2023

Accepted: 22 May 2023

Published: 25 May 2023

DOI: https://doi.org/10.1038/s41598-023-35659-7

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